E
EY
Finance Data Intelligence- Manager
Skills
SQL QueriesData AnalysisMachine LearningAIOracleSAP ERPBudgetingProcess Improvement
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
7 September 2026
What they need
Your Key Responsibilities
- Lead finance function engagements covering Record to Report (R2R), Procure to Pay (P2P), and Order to Cash (O2C) processes, focusing on finance data flows, reconciliations, journals, transaction matching, variance analysis, intercompany transactions, and fixed assets accounting.
- Drive workshops and stakeholder interviews to perform comprehensive current state (As-Is) finance data process assessments and design optimized future state processes leveraging finance data lakes and advanced analytics.
- Identify and prioritize finance data process improvement opportunities through automation, data integration, technology upgrades, and finance data transformation initiatives.
- Oversee the implementation and development of finance data lakes, data pipelines, and governance frameworks.
- Design and implement KPIs, dashboards, and control frameworks for finance data monitoring and reporting across O2C, P2P, and R2R processes.
- Translate complex business requirements into technical data models and solutions, ensuring alignment with client objectives.
- Lead data profiling, data quality assessments, and validation activities using SQL, Excel, and analytics tools.
- Ensure comprehensive documentation of finance data processes, data models, and project deliverables.
- Collaborate with project managers, cross-functional teams, and senior client stakeholders to ensure successful project delivery.
- Apply strong accounting expertise to interpret financial reports and statements in the context of data analytics and governance.
- Provide guidance on financial consolidation, cost allocation, finance planning, and budgeting processes as they relate to data integration.
- Support month-end, quarter-end, and year-end financial close activities with a focus on data accuracy and reconciliation.
- Possess in-depth technical knowledge of ERP systems (SAP ERP/HANA, Oracle GL) and finance data structures.
- Lead Chart of Accounts (CoA) design and finance data architecture initiatives.
- Manage and mentor junior consultants and analysts on finance data intelligence projects.
- Effectively prioritize and manage multiple projects in a fast-paced, high-pressure environment.
- Willingness to travel domestically and internationally as required.
Skills and Attributes for Success
- Proven experience in consulting or finance data intelligence leadership roles.
- Strong leadership and stakeholder management skills with the ability to influence at all organizational levels.
- Excellent communication skills, both verbal and written, with the ability to present complex information clearly.
- Adaptable and able to navigate ambiguity and evolving business environments.
- Collaborative team leader with a focus on driving results and fostering a positive team culture.
- Strong analytical and problem-solving skills with attention to detail.
- Knowledge on AI models and understanding of context of GENAI. ML and Agentic in Finance
To Qualify for the Role, You Must Have
- CA, CFA, CPA, MBA, or Master’s degree in Finance or related field.
- 5-8 years of relevant experience in finance data intelligence, finance analytics, or finance domain.
- Advanced skills in Excel, PowerPoint, and SQL.
Ideally, You’ll Also Have
- Hands-on experience with ERP systems (SAP, Oracle), financial consolidation tools (HFM), and finance data lake platforms.
- Experience leading finance transformation, ERP implementation, and data governance initiatives.
- Project management certification or experience.
- Strong stakeholder management and client engagement skills.
What We Look For
- A strategic thinker with commercial acumen, technical expertise, and a passion for continuous learning.
- A leader who thrives in a fast-paced environment and enjoys working with global teams and clients across industries.
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